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Sierra is the leading platform for customer-facing AI agents, serving major brands including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank. Founded by Bret Taylor (former Salesforce co-CEO, Facebook CTO, Google Maps co-creator) and Clay Bavor (18-year Google veteran who led Google Labs and AR/VR initiatives), Sierra is transforming how enterprises deploy AI to serve customers.
As an Associate Sales Engineer, you will be a technical bridge between Sierra's sales team and customers. Your responsibilities include:
- Mastering Sierra's platform: become an expert on AI agent design, workflows, integrations, and customer experience transformation to credibly engage both technical and business stakeholders.
- Discovery and demos: conduct efficient discovery calls to understand customer needs, answer technical questions in single conversations, and deliver standard product demonstrations and account coverage.
- Proof of concept support: assist senior SEs in building demos and POCs; maintain demo environments in production-ready state.
- APIs and integrations: educate customers on Sierra's APIs, webhooks, and integration patterns; build and deploy scripts against test environments as needed.
- RFP and collateral support: help respond to RFPs, RFIs, and security questionnaires; create presentations and positioning statements.
- Sales partnership: advocate for account executives and customers in internal technical discussions; attend customer meetings and events; maintain accurate CRM records.
- Product feedback loop: translate customer feedback into actionable product input; enroll appropriate customers in beta programs.
- Professional growth: complete product, sales, and process training; receive structured coaching and mentorship from senior Sales Engineers.
The role is based in San Francisco with a primarily in-person culture, though Sierra has growing offices across North America, Europe, and Asia.
REQUIREMENTS:
- Bachelor's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.
- 1+ years of experience in a customer-facing technical role (pre-sales, solutions engineering, technical support, or consulting); strong internships or early-career experience count.
- Ability to explain complex technical concepts clearly to both technical and non-technical audiences.
- Working knowledge of at least one of: cloud software, APIs and integrations, or networking and automation systems.
- Curiosity about business operations and genuine interest in building trusted customer relationships.
- Strong written and verbal communication, organization, and attention to detail; comfort with CRM tools (e.g., Salesforce) and standard productivity software.
- Collaborative, quick-learning mindset; ability to treat sales as a team sport and accept feedback well.
PREFERRED QUALIFICATIONS:
- Hands-on experience with APIs/webhooks, JSON, and scripting (Python or JavaScript).
- Familiarity with AI/ML concepts, workflows, conversational AI, or customer experience platforms.
- Exposure to consultative selling or experience with RFPs and security questionnaires.
- History of tinkering with hardware, sensors, or side projects demonstrating learning-by-building approach.